Snowflake had 11 patents in big data during Q2 2024. Snowflake Inc’s patents in Q2 2024 focus on secure data sharing, synchronization between cloud environments, change tracking in databases, fetching query results using result batches, and automated evaluation of data processing task results in a cloud environment. These patents aim to enhance data security, consistency, and efficiency in collaborative data analysis and sharing among users of the database system. GlobalData’s report on Snowflake gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Snowflake had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: Projection constraint policies in a database system (Patent ID: US20240176822A1)
The patent filed by Snowflake Inc. describes a database system that enables secure data sharing by implementing projection constraints within a query processing framework. This system uses hardware processors to identify data subsets subject to projection constraints based on a data sharing agreement. By selectively restricting the projection of data values from constrained columns while allowing specific operations, the system generates compliant outputs that provide derived data without revealing sensitive information. This approach ensures confidentiality while enabling collaborative data analysis and sharing among users.
The method and system outlined in the patent involve receiving queries directed to shared datasets, identifying data subject to projection constraints, and processing queries in accordance with these constraints to provide compliant outputs. The data sharing agreement between entities determines the context for applying projection constraints, allowing for secure data sharing in scenarios like data clean room systems. By restricting data projection based on the sharing entity and allowing specific operations on the data, the system ensures confidentiality while facilitating collaborative data analysis. Additionally, the system includes a metadata database to store information about shared datasets, enabling the determination of projection constraint applicability. Overall, the patent describes a comprehensive approach to secure data sharing within a database system.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
